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This informative white paper defines and discusses big data security analytics, including the continuum between real-time and asymmetric big data security analytics solutions.
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Read this paper to learn how combining a high performance batch programming and execution model with a high performance analytical database provides significant business benefits for a number of different types of applications.
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Read this paper to discover powerful, self-service business intelligence (BI) that helps you locate, evaluate, and use your crucial business information while minimizing the operational cost.
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This white paper explores how IBM® Rational® software integrated offerings can help gain the traceability you need to ensure overall product quality.
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In today's highly-competitive business climate, immediate access to, and effective analysis of business data can mean the difference between success and failure for an organization. This white paper introduces in-memory computing technology that enables these capabilities.
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With the volume of data today, traditional disk-based systems can not process quickly enough to make it fully useful. In this white paper, gain insight into the next generation of in-memory computing technology.
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Ensuring that business intelligence data is accurate and consistent is crucial to the success of business intelligence (BI) projects. However, managing BI data quality is becoming more challenging as data varieties and sources increase. View this white paper to find out how you can get a handle on BI data quality.
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View this resource to learn more about the limitations of insufficient data. It discusses the importance of the right information at the right time and how to avoid missed opportunities with information-driven products and services.
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Read this white paper to learn how business intelligence (BI) can combine your explicitly-defined business rules and automatically-identified statistical information to deliver the best possible content to your customers for every single interaction.
WHITE PAPER:
Security data collection and analysis has become a big data dilemma – so why wouldn't you adopt a big data approach? This resource outlines why legacy analytics and SIEM tools are inefficient and explores how adopting a solution that combines real-time and asymmetric big data security analytics is vital to success.
